



'''simple docstring'''

def 				a  (     UpperCamelCase_    :    Optional[Any]			)       ->	List[str]:
		snake_case__	     =1
		snake_case__	     =2
		while i * i <= n:
				snake_case__	     =0
				while n % i == 0:
						n //= i
						multiplicity += 1
				n_divisors *= multiplicity + 1
				i += 1
		if n > 1:
				n_divisors *= 2
		return n_divisors






def 				a  (     )       ->	Dict:
		snake_case__	     =1
		snake_case__	     =1

		while True:
				i += 1
				t_num += i

				if count_divisors(UpperCamelCase_			) > 500:
						break

		return t_num


if __name__ == "__main__":
			print(solution())









'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


SCREAMING_SNAKE_CASE__     :						Optional[Any]	=  logging.get_logger(__name__)

class 							a__( snake_case__     ):






			def __init__(     self					,   *_UpperCAmelCase					,   **_UpperCAmelCase						)							->							None:
					warnings.warn(
					    'The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
					    ' use GLPNImageProcessor instead.'					,   _UpperCAmelCase					,   )
					super().__init__(*_UpperCAmelCase					,   **_UpperCAmelCase						)




